Artificial intelligence as a tool in human research management – potential and current use
Artificial intelligence as a tool in human research management – potential and current use
Author(s): Šimon Kusý, Lubica VARECKOVASubject(s): Business Economy / Management, Human Resources in Economy, ICT Information and Communications Technologies
Published by: Fakulta managementu Univerzity Komenského v Bratislave
Keywords: artificial intelligence; human resource management; HR 4.0; industry 4.0; chatbots; HR-bot;
Summary/Abstract: Purpose – The purpose of the paper Artificial Intelligence (AI) as a tool in Human Resource Management (HRM) - Potential and Current is to map the current knowledge based on the published scientific studies in the Web of Science database. Aim – Based on the systematic search, were selected fifteen studies, published within majority groups and selected attributes (year, location, research methods, focus) that were further analysed and compared according to company size and further implementation of AI, HR-bot in HRM. Design/methodology/approach – systematic literary search of selected fifteen studies was used for the qualitative evaluation of the analysed works. Findings – The outcome of the work was the selection of individual directions by years, areas, research location and findings in the papers, where most of them are focused on AI implementation in large companies and reflection of micro, small and medium-sized companies standing behind. Limitation of the study – The limiting conditions of the survey can be seen in the number of published research in the area of small and medium-sized companies. Practical application – The conducted research can provide guidance and facilitates the search for professional articles on AI as an HRM tool in various size companies. Originality/value – The search facilitates and provides the insight in the published studies where micro, small and medium-sized companies stand behind, thus the goal of comparing AI, HR-bot implementations in HRM according to the size of the company was met.
Journal: Journal of Human Resource Management
- Issue Year: 24/2021
- Issue No: 2
- Page Range: 60-68
- Page Count: 9
- Language: English